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Estimation of bending behavior of an ionic polymer metal composite actuator using a nonlinear black-box model

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Truong, Dinh Quang, Ahn, Kyoung Kwan and Yoon, Jong Il (2010) Estimation of bending behavior of an ionic polymer metal composite actuator using a nonlinear black-box model. In: International Conference on Control Automation and Systems (ICCAS), 2010 , Gyeonggi-do, Korea, 27-30 Oct 2010. Published in: Control Automation and Systems (ICCAS), 2010 International Conference on pp. 438-442. ISBN 9781424474530.

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Abstract

An ion polymer metal composite (IPMC) is an electro-active polymer that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network and vice versa. This paper presents a novel accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC. The NBBM is based on a recurrent multi-layer perceptron neural network (RMLPNN) and a self-adjustable learning mechanism (SALM). The model parameters are optimized by using training data. A comparison of the estimated and real IPMC bending characteristic has been done to investigate the modeling ability of the designed NBBM.

Item Type: Conference Item (Paper)
Alternative Title:
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Control Automation and Systems (ICCAS), 2010 International Conference on
Publisher: IEEE
ISBN: 9781424474530
Official Date: 2010
Dates:
DateEvent
2010Published
Page Range: pp. 438-442
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: International Conference on Control Automation and Systems (ICCAS), 2010
Type of Event: Conference
Location of Event: Gyeonggi-do, Korea
Date(s) of Event: 27-30 Oct 2010
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